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Keyness Analysis

Keyness analysis identifies the words that are characteristically frequent (or infrequent) in a target corpus relative to a reference corpus, using statistical tests to measure how unexpected each word's frequency is. Introduced by Mike Scott in 1997, it answers the question 'what is this text or collection distinctively about?' and is a central technique in corpus linguistics and corpus-assisted discourse analysis for surfacing the salient vocabulary of a genre, period, author, or social group.

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Keyword and Keyness Analysis in Corpus Linguistics

Taksonoomiline meetodikirje · process-pipeline / linguistics

Scott, M. (1997). PC analysis of key words — and key key words. System, 25(2), 233–245. · DOI 10.1016/S0346-251X(97)00011-0
Baker, P. (2006). Using Corpora in Discourse Analysis. Continuum. · ISBN 9780826477248
Gabrielatos, C. (2018). Keyness analysis: Nature, metrics and techniques. In C. Taylor & A. Marchi (Eds.), Corpus Approaches to Discourse: A Critical Review (pp. 225–258). Routledge. · ISBN 9781138895157

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Same method familyCollocation Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketCorpus Concordance Analysismachine-suggested · Relational suggestion, not evidence.Same method familyCritical Discourse Analysismachine-suggested · Relational suggestion, not evidence.